Key | Value |
---|---|
FileSize | 245056 |
MD5 | 3653A7DB002192014FAF6EA5AA9DDD84 |
PackageDescription | examples of OpenTURNS functionalities OpenTURNS is a powerful and generic tool to treat and quantify uncertainties in numerical simulations in design, optimization and control. It allows both sensitivity and reliability analysis studies: * defining the outputs of interest and decision criterion; * quantify and model the source of uncertainties; * propagate uncertainties and/or analyse sensitivity and * rank the sources of uncertainty . OpenTURNS is a large project with more than 300 C++ classes which uses well known and supported software such as R for the statistical methods and BLAS/LAPACK for the linear algebra. . This package provides examples which are written either in C++ or in Python. . They are primarly used as validation tests for the whole platform but they can also be seen as tutorials for beginners. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | openturns-examples |
PackageSection | science |
PackageVersion | 1.7-3 |
SHA-1 | EAE80BAA748BC314363E6943E0691E5E6FA890D0 |
SHA-256 | 61597DCD6B37FC7DEB09BA7C428FC7398B523E1D52C02CED203CB9C7A5FC7A22 |
hashlookup:children-total | 812 |
hashlookup:trust | 50 |
The searched file hash includes 812 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/r-other-rot/changelog.Debian.gz |
FileSize | 7863 |
MD5 | 1260AD5D1C4F52C09A73FE2679C6D9EB |
SHA-1 | 001B36D794309B0D240F2CB5D20D60B6F2ACBDCA |
SHA-256 | 4933EE804B586CB08B2F181FA317761CC65567FCE819A7B15911C36C69872B61 |
SSDEEP | 192:aCJHCJ2OSMCDHgeXvCJRxXw1xn01B0S/uVSEnl/dmcjlE8spn/X+pyi2yF:aCRCJ1SMCDaJR1QxmB0N4cW8spOyMF |
TLSH | T1E7F1AFEB386A824D151746BAB5132E79161007E633D750F1BFF694F16C3225C499F933 |
Key | Value |
---|---|
FileName | ./usr/share/openturns/examples/t_KrigingRandomVector_std.cxx |
FileSize | 3430 |
MD5 | 36A46D69EA57EB344FF7EE26EA8543CC |
SHA-1 | 0080CE97D44CC49B58EF142FF743B7643308BE20 |
SHA-256 | B0BD5286BF79D980EF07C5885B07D64017483EAE474074880A3423EB5A14ED99 |
SSDEEP | 96:T0uXDQBcTfhS6W1l+ImV9ZfRTN1tilbqlcwreKs:T0uzacT5Sp+Im9fRsYveKs |
TLSH | T1C961334964621A260DE7227267EFE1829023D553AA9AC940785F83515F074D33FF2FE3 |
Key | Value |
---|---|
FileName | ./usr/share/openturns/examples/t_GaussProductExperiment_std.cxx |
FileSize | 1781 |
MD5 | 2E714842515A434171E6CA4D71F2C116 |
SHA-1 | 00B12636AC65B644626A8F7DED03D372238BEAAF |
SHA-256 | D3AF9A8BCA625F8DC77DE96AB454764C6A5FDEDDCCC0E80D9A807A386BB4DC56 |
SSDEEP | 24:bhRG93q0qJnHyJOkHQWTbV7+JIWvxhouoyuGtXAjtL4l5s8EcvTYURKM1:X70qHy3HuJI4watXAtp7+XKs |
TLSH | T11C31562918A25B77D5D3157477CE43C6F2078A0B269AD911358F6316AF0B0C227F2DAA |
Key | Value |
---|---|
FileName | ./usr/share/openturns/examples/t_MonteCarlo_draw.cxx |
FileSize | 2701 |
MD5 | B414E9F25726C3396C3212D9EB7CAC34 |
SHA-1 | 00DF3AD22343E226E30E81896B86105C634E6F08 |
SHA-256 | 40C37E1F073CF78EA7E567B6596A3ADA8D0C9484962AF0DFF0A5E53875BF4A73 |
SSDEEP | 48:XRM0qHy3HuJI4watXAqbH4w2jWiP28caqgDcKC:U0uXDQc4w2SF8qgQKC |
TLSH | T1915173287C26423304EB1330ABDB2188E363919772D5D554385FC31B6F0A9C117F2FA9 |
Key | Value |
---|---|
FileName | ./usr/share/openturns/examples/t_Binomial_std.py |
FileSize | 2523 |
MD5 | 88DA05AA5535F9A507FB394905E93743 |
SHA-1 | 00E290D7892797ED5ECC9B121370130221224ED0 |
SHA-256 | BDC3BF3582351D2D318DECE317CA45642DFE1B5D09F1C56E08D0531452B5D8FC |
SSDEEP | 24:AbuQQEFkfeW2hlVugJu+Vcfap1TChc+iQl5/fntXujU+udv3NnNvVKl8pnBOdkug:AbBkQo1+VcfaXTCP7CudvNh9QxYR7 |
TLSH | T1AC5157709DC01E961BCB1189DD66A045623B582B34EC392CB9DC87512F1F873DA33EBA |
Key | Value |
---|---|
FileName | ./usr/share/openturns/examples/t_UserDefinedStationaryCovarianceModel_std.cxx |
FileSize | 3056 |
MD5 | D09CA2F64E92E2F3D1BC429C00F41FB0 |
SHA-1 | 0169C6146043189E694CDA825A07514947549B41 |
SHA-256 | 0B3BF4CC0FF9F31096B16F3CEB44289412DB3B7C727AA0BA17F3C5D1085C2F8B |
SSDEEP | 48:Xe0qHy3HuJIQt2wavA6/BJpowlMi60ovZ8zFenyrCDOFvlCKC:00ujMScawXuPUCKC |
TLSH | T1ED519788A5A14633687B06B4A79F90C61257A1437BE690D0750E5B002F4A8D24FFBBFF |
Key | Value |
---|---|
FileName | ./usr/share/openturns/examples/t_Analytical_std.cxx |
FileSize | 3586 |
MD5 | 27C44938FF170E156F0BFD5E258848DD |
SHA-1 | 01D59B85756A9036CD99992C4CB0AE6E0AC23896 |
SHA-256 | 42BCD80DF51E17E83F47B5E7D7C5E77866B10DE98A2F4B00F6BC41015974672D |
SSDEEP | 48:X7M0qHy3HuJI4wah6YUuW0QAQbH4w2j4TuCCKW6+g04XKC:C0uXD6YxWS24w20TuCCKKoKC |
TLSH | T1627183197A210A334AD367707BEE6188E213D59776F09960388F4B676F0B4C20FF5A69 |
Key | Value |
---|---|
FileName | ./usr/share/openturns/examples/t_Multinomial_std.py |
FileSize | 2151 |
MD5 | F1EBF4AEB9062CC89783FE5181504A0D |
SHA-1 | 01FADC48BF4A1345F08226B2291DFB4B8F578A76 |
SHA-256 | 9CE6CF29C24C1133BAAC5AE6A65F98E4B1F914A806345E65836C033169048933 |
SSDEEP | 24:AbuQ7feC2hlVEheuIEu84AYVnhYSgJuCVcNlx1qD5/fPHaNvVKl8pnPYV:AbdoCIr0Yn1CVcNlfqBs9PYV |
TLSH | T1424156309DE01E851FD761C9DDA69002622B582B34DD3828F9DC86512F1F433EA33BBA |
Key | Value |
---|---|
FileName | ./usr/share/openturns/examples/t_TriangularMatrix_std.cxx |
FileSize | 6968 |
MD5 | 4520E71611F8D06EE3D63C7FC079EFEF |
SHA-1 | 0200CEF279EB1A1452221991B893F796D59DFA04 |
SHA-256 | CCD784D6F7DAB11D27DDF8E3F53431120C46248D6BB9361069CAB2CA68207DED |
SSDEEP | 96:s0uXvu5VmT9tY5pIMhmNHm5TlNNSVzGKs:s0uQpInE78zGKs |
TLSH | T1E6E1BE42C9E64D975A934EA89BC81D85200EC12F5FB5FF6CFB1E1A031FA395242F4B52 |
Key | Value |
---|---|
FileName | ./usr/share/openturns/examples/t_RegularGrid_std.py |
FileSize | 609 |
MD5 | C809CC60E323BEC2604AE262ADCA2397 |
SHA-1 | 023FF796A17AB5E25745AF021B7B6F11384075C0 |
SHA-256 | C0069592810FCD0D4746F48A34EDBBCB9E9C236FB138CC84CD530D7DE4966BBE |
SSDEEP | 12:9KjPiWbKBVU9mzpp5QVv37nbGxBDex9YjcdcEvZkon:AbuQQ9p5QVv37nqx0YjcdB7 |
TLSH | T1BBF0469AC5FF3E8B460654B9EC469710161B1B3B5D69F81DFE9C07804FA802B600CB3A |